Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond the annotations (destructiveHint=false, idempotentHint=true), the description discloses real behavioral nuance: the memory is 'gone from every future date and never comes back from the same dates,' that it is reversible via remember_again, and that 'forgetting is the only change.' This meaningfully deepens understanding of a mutation whose annotations could otherwise read as harmless.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The kind/item mapping is front-loaded and useful, but the opening sentence is an overloaded list and the closing line ('Forgetting is the only change: memory is learned, not written') is cryptic and costs space without clear operational payoff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with no output schema, the definition covers the enum semantics, reversibility, and scope of effect well. It lacks any note on response/confirmation or error behavior, but the essential call-time knowledge is present.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With only 40% schema coverage, the description compensates by mapping each 'kind' enum value to the expected 'item' payload (reflection→episode_id, line→line, like/turnoff→cue, moment→character id) and explains remember_again's undo role. Only agent_id and character_id are left to the schema, which is acceptable.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Opens with a specific verb+resource+scope ('Make one of YOUR characters forget one thing it learned') and enumerates the five kinds of memory that can be forgotten. It is clearly distinguishable from siblings like my_character_memory (inspection) and remember_again (undo).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It states the use case and routes the agent to my_character_memory to discover valid 'item' values, and notes remember_again:true reverses the action. It does not explicitly state when NOT to use it or contrast with other mutation siblings, but the operational context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.